# A Deep Learning Method to Forecast COVID-19 Outbreak

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-method-to-forecast-covid-19-outbreak/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Satyabrata Dash,Sujata Chakravarty,Sachi Nandan Mohanty,Chinmaya Ranjan Pattanaik,Sarika Jain |
| Citations | 31 |
| DOI | 10.1007/s00354-021-00129-z |
| Fields | Computer Science,Mathematics,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00354-021-00129-z.pdf |
| OpenAlex ID | https://openalex.org/W3183174968 |
| PMID | 34305259 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Satyabrata Dash](https://scholariq.org/researchers/satyabrata-dash/)
- [Sujata Chakravarty](https://scholariq.org/researchers/sujata-chakravarty/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.